Lushan Yu

3.6k total citations · 1 hit paper
132 papers, 2.8k citations indexed

About

Lushan Yu is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Lushan Yu has authored 132 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 38 papers in Oncology and 33 papers in Pharmacology. Recurrent topics in Lushan Yu's work include Drug Transport and Resistance Mechanisms (31 papers), Pharmacogenetics and Drug Metabolism (23 papers) and Analytical Chemistry and Chromatography (18 papers). Lushan Yu is often cited by papers focused on Drug Transport and Resistance Mechanisms (31 papers), Pharmacogenetics and Drug Metabolism (23 papers) and Analytical Chemistry and Chromatography (18 papers). Lushan Yu collaborates with scholars based in China, United States and Hong Kong. Lushan Yu's co-authors include Su Zeng, Haihong Hu, Huidi Jiang, Yu Kang, Junqing Liu, Hua Wang, Lu Chen, Jiabei Zhou, Sheng Cai and Zhiyuan Qin and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Lushan Yu

128 papers receiving 2.7k citations

Hit Papers

The Drug-Resistance Mechanisms of Five Platinum-Based Ant... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lushan Yu China 26 1.4k 690 427 415 247 132 2.8k
Yan Cao China 34 2.1k 1.5× 435 0.6× 624 1.5× 360 0.9× 293 1.2× 172 3.5k
Agustín Lahoz Spain 33 1.5k 1.1× 503 0.7× 264 0.6× 741 1.8× 325 1.3× 90 3.6k
Young‐Jin Chun South Korea 28 1.2k 0.9× 557 0.8× 336 0.8× 970 2.3× 145 0.6× 98 2.7k
David Jones United States 29 792 0.6× 819 1.2× 344 0.8× 679 1.6× 119 0.5× 58 2.4k
Kevin B. Alton United States 26 691 0.5× 545 0.8× 324 0.8× 501 1.2× 386 1.6× 49 2.8k
Huichang Bi China 37 1.9k 1.4× 842 1.2× 361 0.8× 1.3k 3.2× 179 0.7× 178 4.2k
Jian Shi China 35 1.9k 1.3× 671 1.0× 569 1.3× 633 1.5× 183 0.7× 106 3.6k
Myriam Malet‐Martino France 35 1.5k 1.1× 465 0.7× 240 0.6× 176 0.4× 552 2.2× 104 3.4k
Jan Snoeys Belgium 33 1.2k 0.9× 897 1.3× 167 0.4× 906 2.2× 159 0.6× 94 3.7k
Amin A. Nomeir United States 28 834 0.6× 682 1.0× 181 0.4× 483 1.2× 250 1.0× 111 2.7k

Countries citing papers authored by Lushan Yu

Since Specialization
Citations

This map shows the geographic impact of Lushan Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lushan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lushan Yu more than expected).

Fields of papers citing papers by Lushan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lushan Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lushan Yu. The network helps show where Lushan Yu may publish in the future.

Co-authorship network of co-authors of Lushan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Lushan Yu. A scholar is included among the top collaborators of Lushan Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lushan Yu. Lushan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Zhe, Zhenxing Zhou, Wenwen Duan, et al.. (2024). DR30318, a novel tri-specific T cell engager for Claudin 18.2 positive cancers immunotherapy. Cancer Immunology Immunotherapy. 73(5). 82–82. 4 indexed citations
2.
Nie, Jing, Jiabei Zhou, Yi Shen, et al.. (2023). Studies on the interaction of five triazole fungicides with human renal transporters in cells. Toxicology in Vitro. 88. 105555–105555. 7 indexed citations
3.
Dong, Jianhong, Yiming Qian, Wei Zhang, et al.. (2023). Dual targeting agent Thiotert inhibits the progression of glioblastoma by inducing ER stress-dependent autophagy. Biomedicine & Pharmacotherapy. 170. 115867–115867. 3 indexed citations
4.
He, Xiaoying, Jiali Wang, Qian Wang, et al.. (2022). P38 MAPK, NF-κB, and JAK-STAT3 Signaling Pathways Involved in Capecitabine-Induced Hand-Foot Syndrome via Interleukin 6 or Interleukin 8 Abnormal Expression. Chemical Research in Toxicology. 35(3). 422–430. 8 indexed citations
5.
Wang, Yu, Haihong Hu, Jing Nie, et al.. (2022). Inhibiting uptake activity of organic anion transporter 2 by bile acids. Drug Metabolism and Pharmacokinetics. 43. 100448–100448. 5 indexed citations
6.
Zhao, J., Minzhe Shen, Hui Zhou, et al.. (2021). Recent advances in therapeutic nucleic acids and their analytical methods. Journal of Pharmaceutical and Biomedical Analysis. 206. 114368–114368. 40 indexed citations
7.
Wang, Yingying, Haihong Hu, Hong Zhu, et al.. (2021). Upregulation of histone acetylation reverses organic anion transporter 2 repression and enhances 5-fluorouracil sensitivity in hepatocellular carcinoma. Biochemical Pharmacology. 188. 114546–114546. 20 indexed citations
8.
Zhang, Yang, Jiabei Zhou, Qin Ye, et al.. (2020). 6-Dithio-2′-deoxyguanosine analogs induce reactive oxygen species-mediated tumor cell apoptosis via bi-targeting thioredoxin 1 and telomerase. Toxicology and Applied Pharmacology. 401. 115079–115079. 6 indexed citations
9.
Ma, Liping, Haihong Hu, Hui Zhou, et al.. (2020). Effects of rhein and Rheum palmatum L. extract on the pharmacokinetics and tissue distribution of aristolochic acid I and its demethylated metabolite in rats. Journal of Ethnopharmacology. 267. 113537–113537. 12 indexed citations
10.
Yu, Lushan, et al.. (2020). Epigenetic Regulation of Differentially Expressed Drug-Metabolizing Enzymes in Cancer. Drug Metabolism and Disposition. 48(9). 759–768. 16 indexed citations
11.
Chen, Su, et al.. (2019). Studies on the L-2-hydroxy-acid oxidase 2 catalyzed metabolism of S-mandelic acid and its analogues. Drug Metabolism and Pharmacokinetics. 34(3). 187–193. 2 indexed citations
12.
Qi, Xiaotian, Yang-ling Li, Yanqi Zhang, et al.. (2018). KLF4 functions as an oncogene in promoting cancer stem cell-like characteristics in osteosarcoma cells. Acta Pharmacologica Sinica. 40(4). 546–555. 94 indexed citations
13.
Li, Li, Haihong Hu, Mingcheng Xu, et al.. (2016). Reverse of Acute and Chronic Morphine Tolerance by Lithocholic Acid via Down-Regulating UGT2B7. Frontiers in Pharmacology. 7. 404–404. 5 indexed citations
14.
15.
Hu, Haihong, et al.. (2014). Carbon–carbon double-bond reductases in nature. Drug Metabolism Reviews. 46(3). 362–378. 22 indexed citations
16.
Yu, Lushan, Qi Shen, Huidi Jiang, et al.. (2013). In vitro characterization of ABC transporters involved in the absorption and distribution of liensinine and its analogs. Journal of Ethnopharmacology. 150(2). 485–491. 24 indexed citations
18.
Lou, Yan, Haihong Hu, Yao Liu, et al.. (2011). Determination of chamaechromone in rat plasma by liquid chromatography–tandem mass spectrometry: Application to pharmacokinetic study. Journal of Pharmaceutical and Biomedical Analysis. 55(5). 1163–1169. 15 indexed citations
19.
20.
Yu, Lushan, et al.. (2009). Stereoselective metabolism of propranolol glucuronidation by human UDP‐glucuronosyltransferases 2B7 and 1A9. Chirality. 22(4). 456–461. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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